Predicting onset and duration of airborne allergenic pollen season in the United States. (February 2015)
- Record Type:
- Journal Article
- Title:
- Predicting onset and duration of airborne allergenic pollen season in the United States. (February 2015)
- Main Title:
- Predicting onset and duration of airborne allergenic pollen season in the United States
- Authors:
- Zhang, Yong
Bielory, Leonard
Cai, Ting
Mi, Zhongyuan
Georgopoulos, Panos - Abstract:
- Abstract: Allergenic pollen is one of the main triggers of Allergic Airway Disease (AAD) affecting 5%–30% of the population in industrialized countries. A modeling framework has been developed using correlation and collinearity analyses, simulated annealing, and stepwise regression based on nationwide observations of airborne pollen counts and climatic factors to predict the onsets and durations of allergenic pollen seasons of representative trees, weeds and grass in the contiguous United States. Main factors considered are monthly, seasonal and annual mean temperatures and accumulative precipitations, latitude, elevation, Growing Degree Day (GDD), Frost Free Day (FFD), Start Date (SD) and Season Length (SL) in the previous year. The estimated mean SD and SL for birch ( Betula ), oak ( Quercus ), ragweed ( Ambrosia ), mugwort ( Artemisia ) and grass ( Poaceae ) pollen season in 1994–2010 are mostly within 0–6 days of the corresponding observations for the majority of the National Allergy Bureau (NAB) monitoring stations across the contiguous US. The simulated spatially resolved maps for onset and duration of allergenic pollen season in the contiguous US are consistent with the long term observations. Highlights: A framework was established to optimize modeling of allergenic pollen season. Models were developed using observed airborne pollen data across the contiguous US. Estimated onset and duration are within 0–6 days of observations at most stations. Models are applicableAbstract: Allergenic pollen is one of the main triggers of Allergic Airway Disease (AAD) affecting 5%–30% of the population in industrialized countries. A modeling framework has been developed using correlation and collinearity analyses, simulated annealing, and stepwise regression based on nationwide observations of airborne pollen counts and climatic factors to predict the onsets and durations of allergenic pollen seasons of representative trees, weeds and grass in the contiguous United States. Main factors considered are monthly, seasonal and annual mean temperatures and accumulative precipitations, latitude, elevation, Growing Degree Day (GDD), Frost Free Day (FFD), Start Date (SD) and Season Length (SL) in the previous year. The estimated mean SD and SL for birch ( Betula ), oak ( Quercus ), ragweed ( Ambrosia ), mugwort ( Artemisia ) and grass ( Poaceae ) pollen season in 1994–2010 are mostly within 0–6 days of the corresponding observations for the majority of the National Allergy Bureau (NAB) monitoring stations across the contiguous US. The simulated spatially resolved maps for onset and duration of allergenic pollen season in the contiguous US are consistent with the long term observations. Highlights: A framework was established to optimize modeling of allergenic pollen season. Models were developed using observed airborne pollen data across the contiguous US. Estimated onset and duration are within 0–6 days of observations at most stations. Models are applicable to multiple species and spatiotemporal scales in large area. Models provide season onset and duration for operational pollen forecast model. … (more)
- Is Part Of:
- Atmospheric environment. Volume 103(2015)
- Journal:
- Atmospheric environment
- Issue:
- Volume 103(2015)
- Issue Display:
- Volume 103, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 103
- Issue:
- 2015
- Issue Sort Value:
- 2015-0103-2015-0000
- Page Start:
- 297
- Page End:
- 306
- Publication Date:
- 2015-02
- Subjects:
- Pollen season -- Allergy -- Start date -- Season length -- Model
AAAAI American Academy of Allergy, Asthma and Immunology -- AAD allergic airway disease -- FFD frost free day -- GDD growing degree day -- NAB National Allergy Bureau -- NARCCAP North American Regional Climate Change Assessment Program -- NOAA National Oceanic and Atmospheric Administration -- SD start date -- SL season length -- WRF Weather Research & Forecasting model
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2014.12.019 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
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